Valentinetemi/fisibel

Privacy-safe synthetic African healthcare datasets powered by Gemma 4 and WHO-grounded generation. # Fisibel — African Health Data Infrastructure > *"What happens when the AI trained to save lives was never trained on yours?"* Fisibel is a multimodal synthetic health data platform powered by Google Gemma 4. Upload a real African health record. Gemma 4 reads it, extracts clinical patterns, and generates privacy-safe synthetic datasets grounded in WHO and World Bank statistics — with full OpenMetadata governance, fidelity scoring, and data quality analysis. ## 🎬 Demo **Live Demo** | **Video Walkthrough** --- ## 🌍 The Problem Most healthcare AI systems were trained on datasets that barely represent African patients. Hospitals across Africa generate millions of health records yearly — yet most never reach AI training pipelines. Privacy restrictions, fragmented infrastructure, and limited data governance have left African patients largely invisible. **The result:** systems built to detect disease often perform worst on the populations that need them most Fisibel fixes this. --- ## 🧠 What Fisibel Does Upload any African health record → Gemma 4 reads it multimodally → generates a synthetic dataset grounded in real WHO and World Bank statistics → registers it in OpenMetadata with lineage, fidelity score, and full data quality analysis. No real patient data ever leaves the platform --- ## 🏗️ Architecture ``` ┌─────────────────────────────────────────────────┐ │ Real Health Record (Image / PDF) │ └──────────────────────┬──────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────┐ │ Gemma 4 Vision — Multimodal Extraction │ │ Reads diagnoses, symptoms, treatments, │ │ geographic identifiers directly from document │ └──────────────────────┬──────────────────────────┘ │ ┌────────────┴────────────┐ ▼ ▼ ┌──────────────────┐ ┌──────────────────────┐ │ WHO Global │ │ World Bank Open │ │ Health │ │ Data API │ │ Observatory API │ │ (demo …